Event Details
- Date: Tuesday, March 19th
- Time: 5:00pm - 8:00pm EST
- Location: MassBioHub, 700 Technology Square, 5th Floor, Cambridge, MA 02139
About the Event
Speakers:
- Nick Brown, Director, Global Portfolio Leader, Certara
- Josh Apgar, PhD, Co-Founder and CSO, Applied BioMath
The proliferation of powerful AI models has revolutionized how the life sciences industry consumes information and uses it for accelerating and validating research. For example:
- Researchers can complete what would normally be weeks long literature review and data extraction tasks in a matter of minutes or hours.
- Researchers can enhance complex R&D tasks by harnessing massive amounts of information and delivering it in easy to consume formats.
One area where AI can provide immense value is in combination with QSP modeling to significantly accelerate the creation, expansion and validation of QSP models. For example, significant amounts of data need to be collected to defend a model, but what if GPTs can deliver this data for you to enable interactive models that can be reviewed and validated by colleagues and regulators?
During this presentation, experts from Certara will share novel approaches for leveraging AI to enhance data accessibility and analysis needed for QSP modeling. They’ll provide an educational overview on recent innovations in AI and the critical considerations teams need to take to successfully deploy AI and GPT models within the life sciences R&D pipeline.
Learning Objectives:
- Key considerations for applying private AI models within QSP modeling
- Enabling unstructured data access for informing QSP models
- Simplified approaches for research data collection
- Visualizations for enabling QC in newly designed models
Agenda:
- 5:00pm - 5:30pm - Registration
- 5:30pm - 6:30pm - Presentation
- 6:30pm - 8:00pm - Reception with food and drinks